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Optimization in industry = present p...

Datta, Shubhabrata.

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Optimization in industry = present practices and future scopes /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization in industry/ edited by Shubhabrata Datta, J. Paulo Davim.
Reminder of title:	present practices and future scopes /
other author:	Datta, Shubhabrata.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	x, 352 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Optimization for Industrial Problem Solving: an Introduction -- Operational Research and Optimization -- Traditional Optimization Techniques -- Evolutionary algorithms -- Swarm Optimization -- Multi-objective Optimization and Multi-criteria Decision Making -- Product Design and Optimization -- Process Optimization and Control -- Optimization in Manufacturing Sector -- Optimization in Chemical Industries -- Optimization in Construction and Transport Engineering -- Optimization in Electronic and Communication Sector -- Optimization in Steel Industries -- Optimization in Supply Chain and Logistics.
Contained By:	Springer eBooks
Subject:	Mathematical optimization. -
Online resource:	https://doi.org/10.1007/978-3-030-01641-8
ISBN:	9783030016418

Optimization in industry = present practices and future scopes /
Optimization in industrypresent practices and future scopes /[electronic resource] :edited by Shubhabrata Datta, J. Paulo Davim. - Cham :Springer International Publishing :2019. - x, 352 p. :ill. (some col.), digital ;24 cm. - Management and industrial engineering,2365-0532. - Management and industrial engineering..

Optimization for Industrial Problem Solving: an Introduction -- Operational Research and Optimization -- Traditional Optimization Techniques -- Evolutionary algorithms -- Swarm Optimization -- Multi-objective Optimization and Multi-criteria Decision Making -- Product Design and Optimization -- Process Optimization and Control -- Optimization in Manufacturing Sector -- Optimization in Chemical Industries -- Optimization in Construction and Transport Engineering -- Optimization in Electronic and Communication Sector -- Optimization in Steel Industries -- Optimization in Supply Chain and Logistics.

This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm optimization tools for solving industrial issues. The content is very helpful for industry personnel, particularly engineers from the Operation, R&D and Quality Assurance sectors, and also the academic researchers of different engineering and/or business administration background.

ISBN: 9783030016418

Standard No.: 10.1007/978-3-030-01641-8doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5 / .O685 2019

Dewey Class. No.: 519.6

Optimization in industry = present practices and future scopes /
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245 0 0 $a Optimization in industry $h [electronic resource] : $b present practices and future scopes / $c edited by Shubhabrata Datta, J. Paulo Davim.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 352 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Management and industrial engineering, $x 2365-0532
505 0 $a Optimization for Industrial Problem Solving: an Introduction -- Operational Research and Optimization -- Traditional Optimization Techniques -- Evolutionary algorithms -- Swarm Optimization -- Multi-objective Optimization and Multi-criteria Decision Making -- Product Design and Optimization -- Process Optimization and Control -- Optimization in Manufacturing Sector -- Optimization in Chemical Industries -- Optimization in Construction and Transport Engineering -- Optimization in Electronic and Communication Sector -- Optimization in Steel Industries -- Optimization in Supply Chain and Logistics.
520 $a This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm optimization tools for solving industrial issues. The content is very helpful for industry personnel, particularly engineers from the Operation, R&D and Quality Assurance sectors, and also the academic researchers of different engineering and/or business administration background.
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Operations Management. $2 swd $3 1283589
650 2 4 $a Industrial Chemistry/Chemical Engineering. $3 890826
700 1 $a Datta, Shubhabrata. $3 3380810
700 1 $a Davim, J. Paulo. $3 907796
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Management and industrial engineering. $3 2057681
856 4 0 $u https://doi.org/10.1007/978-3-030-01641-8
950 $a Engineering (Springer-11647)